Value
Measure
Academics
Citations per year in post (from the first professorial appointment, else the PhD year) · the 15 highest of 87 academics1,247,294 citations over 8,569 of 10,853 works (79% carry a count). 73 of 87 academics have at least one counted work. A work with no citation count is unknown here, never a zero.
Publications by career year
Publications in each year of a careerPooled over the 86 of 87 academics whose CV states a PhD year, across 8 departments; career year 0 is the PhD year. A career year fewer than 5 of them have reached is a gap. A total counts only the academics who had reached that career year, so the tail is low because fewer of them are in it; the mean and the median divide by exactly those academics.
What these filters select, over everything selected not what the graph divided by
| Selected | Academics | CV | Scholar | OpenAlex | Works | With a count |
|---|---|---|---|---|---|---|
| Everything selected | 87 | 87/87 1.0% | 46/87 0.5287356321839081% | 87/87 1.0% | 10853 | 8569/10853 0.7895512761448448% |
- Over the academics these filters select, so a filtered page describes the academics it selected and not the whole department.
- A row with nothing held draws no mark above: the graph is quiet there because the evidence is missing, not because the work is.
- What there was to draw from, not what the graph divided by - the graph states its own denominator above.
- A Scholar profile is attached when at least 3 of the CV titles are found on it, or 30% of them are; one at another institution or under a different name needs 10 titles, and a profile far larger than the CV that holds only a small part of it is refused. Its articles are then checked one by one: what is not a work, or not by this person, is not counted.
Citations by career year
Citations of the works published in each career yearPooled over the 86 of 87 academics whose CV states a PhD year, across 8 departments; career year 0 is the PhD year. A career year fewer than 5 of them have reached is a gap. The citations of the works published in that career year, not the citations received in it. A total counts only the academics who had reached that career year, so the tail is low because fewer of them are in it; the mean and the median divide by exactly those academics.
What these filters select, over everything selected not what the graph divided by
| Selected | Academics | CV | Scholar | OpenAlex | Works | With a count |
|---|---|---|---|---|---|---|
| Everything selected | 87 | 87/87 1.0% | 46/87 0.5287356321839081% | 87/87 1.0% | 10853 | 8569/10853 0.7895512761448448% |
- Over the academics these filters select, so a filtered page describes the academics it selected and not the whole department.
- A row with nothing held draws no mark above: the graph is quiet there because the evidence is missing, not because the work is.
- What there was to draw from, not what the graph divided by - the graph states its own denominator above.
- A Scholar profile is attached when at least 3 of the CV titles are found on it, or 30% of them are; one at another institution or under a different name needs 10 titles, and a profile far larger than the CV that holds only a small part of it is refused. Its articles are then checked one by one: what is not a work, or not by this person, is not counted.
Publications per year
Works published in each yearOne line over the 87 academics the filters select, by the year each work was published; an undated work is in no year. A work two colleagues share counts once for their department.
What these filters select, per academic not what the graph divided by
| Academic | Academics | CV | Scholar | OpenAlex | Works | With a count |
|---|---|---|---|---|---|---|
| Andrew B. Bocarsly | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| Eric Jacobsen | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| Erin E. Stache | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| Gregory Scholes | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| Herschel Rabitz | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| John T. Groves | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| Jose Roque | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| Martin F. Semmelhack | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| Nozomi Ando | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| Richard A. Friesner | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| Robert J. Cava | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| Todd K. Hyster | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| Victor Batista | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| Virgil Percec | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| Abraham Nitzan | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 400 | 392/400 0.98% |
| Adam Cohen | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 123 | 119/123 0.967479674796748% |
| Amit Basu | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 34 | 32/34 0.9411764705882353% |
| Barbara A. Baird | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 194 | 193/194 0.9948453608247423% |
| Benjamin McDonald | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 16 | 14/16 0.875% |
| Brenda Rubenstein | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 116 | 70/116 0.603448275862069% |
| Christina Woo | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 80 | 75/80 0.9375% |
| Christoph Rose-Petruck | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 81 | 54/81 0.6666666666666666% |
| David R. Liu | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 324 | 99/324 0.3055555555555556% |
| David Spiegel | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 12 | 10/12 0.8333333333333334% |
| Diptarka Hait | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 46 | 45/46 0.9782608695652174% |
| Dirk Trauner | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 372 | 367/372 0.9865591397849462% |
| E. Chui-Ying Yan | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 75 | 72/75 0.96% |
| Emily Balskus | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 118 | 117/118 0.9915254237288136% |
| Emily Sprague-Klein | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 33 | 25/33 0.7575757575757576% |
| Eunsuk Kim | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 85 | 83/85 0.9764705882352941% |
| F. Jon Kull | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 40 | 37/40 0.925% |
| Ivan Aprahamian | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 104 | 102/104 0.9807692307692307% |
| Ivan J. Dmochowski | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 191 | 130/191 0.680628272251309% |
| James G. Anderson | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 201 | 26/201 0.12935323383084577% |
| Jarad Mason | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 97 | 79/97 0.8144329896907216% |
| Jeffrey D. Winkler | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 177 | 159/177 0.8983050847457628% |
| Jeffrey R. Long | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 421 | 85/421 0.20190023752969122% |
| Jerome Robinson | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 39 | 39/39 1.0% |
| Jimmy Wu | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 48 | 47/48 0.9791666666666666% |
| Jon Ellman | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 356 | 345/356 0.9691011235955056% |
| Jonathan S. Owen | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 73 | 7/73 0.0958904109589041% |
| Joseph Subotnik | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 251 | 208/251 0.8286852589641435% |
| Kang-Kuen Ni | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 125 | 64/125 0.512% |
| Kyle M. Lancaster | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 119 | 118/119 0.9915966386554622% |
| Lai-Sheng Wang | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 522 | 203/522 0.3888888888888889% |
| Lilia Xie | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 22 | 21/22 0.9545454545454546% |
| Makeda Tekle-Smith | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 13 | 8/13 0.6153846153846154% |
| Marissa Weichman | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 50 | 50/50 1.0% |
| Mark Johnson | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 196 | 191/196 0.9744897959183674% |
| Matthew Zimmt | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 83 | 82/83 0.9879518072289156% |
| Megan Kizer | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 23 | 20/23 0.8695652173913043% |
| Megan L. Matthews | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 50 | 45/50 0.9% |
| Michael Hecht | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 125 | 121/125 0.968% |
| Monica E. McCallum | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 13 | 12/13 0.9230769230769231% |
| Nilay Hazari | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 131 | 126/131 0.9618320610687023% |
| Ou Chen | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 155 | 130/155 0.8387096774193549% |
| Patrick Holland | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 231 | 214/231 0.9264069264069265% |
| Patrick J. Walsh | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 313 | 299/313 0.9552715654952076% |
| Paul Chirik | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 207 | 207/207 1.0% |
| Paul Robustelli | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 31 | 31/31 1.0% |
| Paul Williard | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 238 | 187/238 0.7857142857142857% |
| Peter Weber | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 119 | 92/119 0.773109243697479% |
| Phillip Milner | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 116 | 95/116 0.8189655172413793% |
| Ralph Kleiner | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 41 | 41/41 1.0% |
| Richard Stratt | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 117 | 111/117 0.9487179487179487% |
| Robert A. DiStasio Jr. | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 159 | 87/159 0.5471698113207547% |
| Robert Knowles | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 83 | 79/83 0.9518072289156626% |
| Salvatore Torquato | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 492 | 460/492 0.9349593495934959% |
| Sarah Delaney | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 46 | 46/46 1.0% |
| Seth Herzon | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 65 | 65/65 1.0% |
| Sharon Hammes-Schiffer | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 421 | 222/421 0.5273159144893111% |
| Shouheng Sun | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 324 | 300/324 0.9259259259259259% |
| Stacy Malaker | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 64 | 60/64 0.9375% |
| Theodore Betley | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 89 | 10/89 0.11235955056179775% |
| Tianquan “Tim” Lian | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 280 | 264/280 0.9428571428571428% |
| Timothy Newhouse | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 86 | 69/86 0.8023255813953488% |
| Tom Muir | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 236 | 225/236 0.9533898305084746% |
| Tomislav Rovis | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 161 | 159/161 0.9875776397515528% |
| Tristan Lambert | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 116 | 94/116 0.8103448275862069% |
| Virginia W. Cornish | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 76 | 75/76 0.9868421052631579% |
| Wenlin Zhang | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 49 | 30/49 0.6122448979591837% |
| William Jorgensen | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 451 | 429/451 0.9512195121951219% |
| William M. Jacobs | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 40 | 40/40 1.0% |
| Xiaowei Zhuang | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 192 | 189/192 0.984375% |
| Xiaoyang Zhu | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 291 | 291/291 1.0% |
| Yusong Bai | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 49 | 33/49 0.673469387755102% |
| Zahra Fakhraai | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 191 | 92/191 0.4816753926701571% |
- Over the academics these filters select, so a filtered page describes the academics it selected and not the whole department.
- A row with nothing held draws no mark above: the graph is quiet there because the evidence is missing, not because the work is.
- What there was to draw from, not what the graph divided by - the graph states its own denominator above.
- A Scholar profile is attached when at least 3 of the CV titles are found on it, or 30% of them are; one at another institution or under a different name needs 10 titles, and a profile far larger than the CV that holds only a small part of it is refused. Its articles are then checked one by one: what is not a work, or not by this person, is not counted.
Citations per year
Citations received in each yearOne line over the 87 academics the filters select. Citations received in each year, from the academics’ verified Scholar profiles, which count every citation to everything they wrote: no publication filter reaches this line, and no journal weight either, which is why it offers no Value.
What these filters select, per academic not what the graph divided by
| Academic | Academics | CV | Scholar | OpenAlex | Works | With a count |
|---|---|---|---|---|---|---|
| Andrew B. Bocarsly | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| Eric Jacobsen | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| Erin E. Stache | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| Gregory Scholes | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| Herschel Rabitz | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| John T. Groves | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| Jose Roque | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| Martin F. Semmelhack | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| Nozomi Ando | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| Richard A. Friesner | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| Robert J. Cava | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| Todd K. Hyster | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| Victor Batista | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| Virgil Percec | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 0 | — |
| Abraham Nitzan | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 400 | 392/400 0.98% |
| Adam Cohen | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 123 | 119/123 0.967479674796748% |
| Amit Basu | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 34 | 32/34 0.9411764705882353% |
| Barbara A. Baird | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 194 | 193/194 0.9948453608247423% |
| Benjamin McDonald | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 16 | 14/16 0.875% |
| Brenda Rubenstein | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 116 | 70/116 0.603448275862069% |
| Christina Woo | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 80 | 75/80 0.9375% |
| Christoph Rose-Petruck | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 81 | 54/81 0.6666666666666666% |
| David R. Liu | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 324 | 99/324 0.3055555555555556% |
| David Spiegel | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 12 | 10/12 0.8333333333333334% |
| Diptarka Hait | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 46 | 45/46 0.9782608695652174% |
| Dirk Trauner | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 372 | 367/372 0.9865591397849462% |
| E. Chui-Ying Yan | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 75 | 72/75 0.96% |
| Emily Balskus | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 118 | 117/118 0.9915254237288136% |
| Emily Sprague-Klein | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 33 | 25/33 0.7575757575757576% |
| Eunsuk Kim | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 85 | 83/85 0.9764705882352941% |
| F. Jon Kull | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 40 | 37/40 0.925% |
| Ivan Aprahamian | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 104 | 102/104 0.9807692307692307% |
| Ivan J. Dmochowski | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 191 | 130/191 0.680628272251309% |
| James G. Anderson | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 201 | 26/201 0.12935323383084577% |
| Jarad Mason | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 97 | 79/97 0.8144329896907216% |
| Jeffrey D. Winkler | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 177 | 159/177 0.8983050847457628% |
| Jeffrey R. Long | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 421 | 85/421 0.20190023752969122% |
| Jerome Robinson | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 39 | 39/39 1.0% |
| Jimmy Wu | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 48 | 47/48 0.9791666666666666% |
| Jon Ellman | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 356 | 345/356 0.9691011235955056% |
| Jonathan S. Owen | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 73 | 7/73 0.0958904109589041% |
| Joseph Subotnik | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 251 | 208/251 0.8286852589641435% |
| Kang-Kuen Ni | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 125 | 64/125 0.512% |
| Kyle M. Lancaster | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 119 | 118/119 0.9915966386554622% |
| Lai-Sheng Wang | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 522 | 203/522 0.3888888888888889% |
| Lilia Xie | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 22 | 21/22 0.9545454545454546% |
| Makeda Tekle-Smith | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 13 | 8/13 0.6153846153846154% |
| Marissa Weichman | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 50 | 50/50 1.0% |
| Mark Johnson | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 196 | 191/196 0.9744897959183674% |
| Matthew Zimmt | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 83 | 82/83 0.9879518072289156% |
| Megan Kizer | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 23 | 20/23 0.8695652173913043% |
| Megan L. Matthews | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 50 | 45/50 0.9% |
| Michael Hecht | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 125 | 121/125 0.968% |
| Monica E. McCallum | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 13 | 12/13 0.9230769230769231% |
| Nilay Hazari | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 131 | 126/131 0.9618320610687023% |
| Ou Chen | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 155 | 130/155 0.8387096774193549% |
| Patrick Holland | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 231 | 214/231 0.9264069264069265% |
| Patrick J. Walsh | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 313 | 299/313 0.9552715654952076% |
| Paul Chirik | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 207 | 207/207 1.0% |
| Paul Robustelli | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 31 | 31/31 1.0% |
| Paul Williard | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 238 | 187/238 0.7857142857142857% |
| Peter Weber | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 119 | 92/119 0.773109243697479% |
| Phillip Milner | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 116 | 95/116 0.8189655172413793% |
| Ralph Kleiner | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 41 | 41/41 1.0% |
| Richard Stratt | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 117 | 111/117 0.9487179487179487% |
| Robert A. DiStasio Jr. | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 159 | 87/159 0.5471698113207547% |
| Robert Knowles | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 83 | 79/83 0.9518072289156626% |
| Salvatore Torquato | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 492 | 460/492 0.9349593495934959% |
| Sarah Delaney | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 46 | 46/46 1.0% |
| Seth Herzon | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 65 | 65/65 1.0% |
| Sharon Hammes-Schiffer | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 421 | 222/421 0.5273159144893111% |
| Shouheng Sun | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 324 | 300/324 0.9259259259259259% |
| Stacy Malaker | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 64 | 60/64 0.9375% |
| Theodore Betley | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 89 | 10/89 0.11235955056179775% |
| Tianquan “Tim” Lian | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 280 | 264/280 0.9428571428571428% |
| Timothy Newhouse | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 86 | 69/86 0.8023255813953488% |
| Tom Muir | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 236 | 225/236 0.9533898305084746% |
| Tomislav Rovis | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 161 | 159/161 0.9875776397515528% |
| Tristan Lambert | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 116 | 94/116 0.8103448275862069% |
| Virginia W. Cornish | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 76 | 75/76 0.9868421052631579% |
| Wenlin Zhang | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 49 | 30/49 0.6122448979591837% |
| William Jorgensen | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 451 | 429/451 0.9512195121951219% |
| William M. Jacobs | 1 | 1/1 1.0% | 0/1 0.0% | 1/1 1.0% | 40 | 40/40 1.0% |
| Xiaowei Zhuang | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 192 | 189/192 0.984375% |
| Xiaoyang Zhu | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 291 | 291/291 1.0% |
| Yusong Bai | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 49 | 33/49 0.673469387755102% |
| Zahra Fakhraai | 1 | 1/1 1.0% | 1/1 1.0% | 1/1 1.0% | 191 | 92/191 0.4816753926701571% |
- Over the academics these filters select, so a filtered page describes the academics it selected and not the whole department.
- A row with nothing held draws no mark above: the graph is quiet there because the evidence is missing, not because the work is.
- What there was to draw from, not what the graph divided by - the graph states its own denominator above.
- A Scholar profile is attached when at least 3 of the CV titles are found on it, or 30% of them are; one at another institution or under a different name needs 10 titles, and a profile far larger than the CV that holds only a small part of it is refused. Its articles are then checked one by one: what is not a work, or not by this person, is not counted.
h-index
Academics at each h-indexThe verified Scholar profile’s h-index where there is one, else computed from the OpenAlex citations of the academic’s CV works (definitions section 6): Scholar for 46 academics, OpenAlex citations of CV works for 28, 13 with no h-index. Never OpenAlex’s author-level figure, and no filter here moves it.
What these filters select, over everything selected not what the graph divided by
| Selected | Academics | CV | Scholar | OpenAlex | Works | With a count |
|---|---|---|---|---|---|---|
| Everything selected | 87 | 87/87 1.0% | 46/87 0.5287356321839081% | 87/87 1.0% | 10853 | 8569/10853 0.7895512761448448% |
- Over the academics these filters select, so a filtered page describes the academics it selected and not the whole department.
- A row with nothing held draws no mark above: the graph is quiet there because the evidence is missing, not because the work is.
- What there was to draw from, not what the graph divided by - the graph states its own denominator above.
- A Scholar profile is attached when at least 3 of the CV titles are found on it, or 30% of them are; one at another institution or under a different name needs 10 titles, and a profile far larger than the CV that holds only a small part of it is refused. Its articles are then checked one by one: what is not a work, or not by this person, is not counted.
Makeup by rank
Academics at each current rankThe current rank of every academic the filters keep (definitions section 7). A rank is current as of the CV, so no year window or publication type moves it.
What these filters select, over everything selected not what the graph divided by
| Selected | Academics | CV | Scholar | OpenAlex | Works | With a count |
|---|---|---|---|---|---|---|
| Everything selected | 87 | 87/87 1.0% | 46/87 0.5287356321839081% | 87/87 1.0% | 10853 | 8569/10853 0.7895512761448448% |
- Over the academics these filters select, so a filtered page describes the academics it selected and not the whole department.
- A row with nothing held draws no mark above: the graph is quiet there because the evidence is missing, not because the work is.
- What there was to draw from, not what the graph divided by - the graph states its own denominator above.
- A Scholar profile is attached when at least 3 of the CV titles are found on it, or 30% of them are; one at another institution or under a different name needs 10 titles, and a profile far larger than the CV that holds only a small part of it is refused. Its articles are then checked one by one: what is not a work, or not by this person, is not counted.
Top collaborators
Works two of the selected academics both holdThe pairs of the 87 selected academics who share the most of these works. 246 of the 10,853 selected works are held by two of them, making 67 pairs - a work three of them share is three pairs, so the two figures are different quantities and neither is a sum of the other. Only collaborations inside this selection are here: a work written with somebody outside it is counted everywhere else on this page and cannot be paired.
What these filters select, over everything selected not what the graph divided by
| Selected | Academics | CV | Scholar | OpenAlex | Works | With a count |
|---|---|---|---|---|---|---|
| Everything selected | 87 | 87/87 1.0% | 46/87 0.5287356321839081% | 87/87 1.0% | 10853 | 8569/10853 0.7895512761448448% |
- Over the academics these filters select, so a filtered page describes the academics it selected and not the whole department.
- A row with nothing held draws no mark above: the graph is quiet there because the evidence is missing, not because the work is.
- What there was to draw from, not what the graph divided by - the graph states its own denominator above.
- A Scholar profile is attached when at least 3 of the CV titles are found on it, or 30% of them are; one at another institution or under a different name needs 10 titles, and a profile far larger than the CV that holds only a small part of it is refused. Its articles are then checked one by one: what is not a work, or not by this person, is not counted.
Pick two academics to see how many of the selected works they share.